Papers by Ritabrata Dutta

1 papers
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators (2022.naacl-main)

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Challenge: Using a framework based on Rhetorical Structure Theory, we aim to improve the cohesion and coherence of long-form text generated by language models.
Approach: They propose a framework that utilises Rhetorical Structure Theory to control the discourse structure, semantics and topics of generated text.
Outcome: The proposed framework performs competitively against existing models while offering significantly more controls over generated text than alternative methods.

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